Engineer- Data Science

About our group:

Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions.

About the role - you will:

In this highly visible role, you will help develop and optimize Large Language Model based analytics solutions to revolutionize business operations but not limited to: 
•    Be part of a product team of 6-8 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms and Big Data solutions
•    Leverage OpenAI , Azure OpenAI or Google Vertex AI or other open source LLM to help users intuitively and efficiently access large databases
•    Collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
•    Leverage MLOps tools to support ML workflows including experimentation, training and production operations
•    Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
•    Work on multiple streams of analytics which includes Time series, image and Tabular data
•    Work on building accelerators and ML frameworks
•    Collaborate with data scientists, data engineers and Business SMEs to end-to-end Analytics platform and supporting infrastructure
 

About you:

•    You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of Hi-tech and Manufacturing analytics
•    Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
•    You’re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
•    Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
•    Excellent interpersonal skills to develop relationships with different teams and peers in the organization
 

Your experience includes:

•    Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
•    Experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
•    Experience in at least one major programming language (e.g. Python, Scala, Java) and SQL (any variant)
•    A collaborative coder, comfortable with Git and code reviews
•    Good Knowledge of data management and data mining architecture.
•    Ability to proactively identify and resolve issues.
 

Location:

 Pune, India
Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as our vibrant on-site food, and athletic and personal development opportunities for our employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent onsite cultural festivals, celebrations, and community volunteer opportunities.

Location: Pune, India
Travel: None